【信通论坛(2022第6期)】Simultaneous Radar Detection and Constrained Estimation via Dinkelbach Algorithm

文:孟阳|图:信通学院| 发布时间: 2022-11-30 09:47:20|

由信息与通信工程学院主办的“信通论坛”本次邀请到意大利那不勒斯费德里克二世大学Antonio De Maio教授来校进行学术交流,具体安排如下,欢迎感兴趣的师生参加。

一、主 题:Simultaneous Radar Detection and Constrained Estimation via Dinkelbach Algorithm

二、主讲人:Antonio De Maio教授不勒斯费德里克二世大学,IEEE Fellow

三、时 间:2022121日(周四)14:00

四、参加方式:

线上平台:腾讯会议

会议链接:https://meeting.tencent.com/dm/akc7xxZJZqUf

会议I    D143-857-167

会议密码:502502

五、主持人:崔国龙 教授

六、内容简介:

In this talk, we will first introduce signal processing architectures which, after target detection, are able to provide direct estimates of the target angular offsets from the array pointing direction. Then, we'll talk about two estimation procedures respectively based on the Dinkelbach’s algorithm and a CD method. The former provides the optimal ML estimates of the unknown displacements. The latter generally exhibits a faster convergence than the former but the optimality of the solution (in the ML sense) cannot be claimed. Finally, we'll demonstrate a comparative analysis with other techniques available in the open literature which are either tailored to detection or target angle localization. Benchmark limits have been also considered. The results highlight the interplay of the different design parameters and show that the new algorithms provide adequate performance, thus representing viable solutions for practical implementations.

七、主讲人简介

Antonio De Maio (S'01-A'02-M'03-SM'07-F'13) was born in Sorrento, Italy, on June 20, 1974. He received the Dr.Eng. degree (with honors) and the Ph.D. degree in information engineering, both from the University of Naples Federico II, Naples, Italy, in 1998 and 2002, respectively. From October to December 2004, he was a Visiting Researcher with the U.S. Air Force Research Laboratory, Rome, NY, USA. From November to December 2007, he was a Visiting Researcher with the Chinese University of Hong Kong, Hong Kong. Currently, he is a Professor with the University of Naples Federico II. His research interest lies in the field of statistical signal processing, with emphasis on radar detection and optimization theory applied to radar signal processing. Dr. De Maio is a Fellow member of IEEE and the recipient of the 2010 IEEE Fred Nathanson Memorial Award as the young (less than 40 years of age) AESS Radar Engineer 2010 whose performance is particularly noteworthy as evidenced by contributions to the radar art over a period of several years, with the following citation for "robust CFAR detection, knowledge-based radar signal processing, and waveform design and diversity".







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